JR Academy / Engineering knowledge

AI Engineering System Design

20 AI engineering topics across 107 complete pages. Explain request paths, state, knowledge and governance boundaries before choosing components.

Project credit

JR Academy

This is completed team work, shared for direct exploration and reading. Code, artwork, chapter writing and review are not attributed to me individually.

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Existing cover artwork for AI Engineering System DesignComplete 107-page HTML book

Context

A diagram containing a model, vector database and agent does not explain how a system works. It must show request flow, state ownership, failure recovery, and the points where permissions and data are controlled.

This existing JR Academy book covers 20 topics across platforms and delivery, context and knowledge, runtime and interaction, and trust and governance.

Approach & design

Use different visual forms for different questions: request paths for online calls, state machines for long-running tasks, ingestion/query separation for knowledge systems, and gates and feedback loops for releases. Legends and scenarios define what the arrows mean.

Each topic connects a scenario and its design problem with engineering trade-offs. The complete book retains its references so readers can check the technical basis.

The complete work

The complete v2.0.4 edition contains 20 topics, 107 pages, diagrams and references. Browse page by page, use the chapter selector or switch to continuous reading. The original book is in Chinese.

Contribution & credits

The work is credited to its team brand. This site provides access to the complete resource without claiming individual authorship of the team’s production.

Notes on use

This is an engineering learning resource. Applying its approaches requires your own system constraints, technology versions and practical validation.

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